My focus lies on the development of model-driven medical signal processing and interpretation methods. These robust methods will prove vital in monitoring of vital signs with increasingly less obtrusive devices.
Rik Vullings is Assistant Professor in the Signal Processing Systems group at Eindhoven University of Technology. He did his PhD research in the group on analysis and interpretation of the non-invasively recorded fetal electrocardiogram to aid in the timely assessment of fetal distress. This technology is now being marketed through the spinoff company Nemo Healthcare, of which Vullings is co-founder and CSO. In 2012, Vullings received a VENI grant to continue his research on pregnancy monitoring at TU/e. His research interests include biomedical signal processing and modeling, machine learning and pattern recognition. His main medical application areas are perinatology, cardiology, and somnology
Rik Vullings received his MSc in Applied Physics with distinction from Eindhoven University of Technology (TU/e) in 2005. In 2010, he obtained his PhD degree in Electrical Engineering from TU/e on the analysis and interpretation of the non-invasive fetal electrocardiogram. He stayed on at TU/e as postdoc and was appointed Assistant Professor in 2013. In 2004, Vullings took the position of researcher at Máxima Medical Center, where he worked until 2015. In 2009, he founded the spin-off company Nemo Healthcare, of which he is currently the CSO.
An adaptive Kalman filter for ECG signal enhancementIEEE Transactions on Biomedical Engineering (2011)
Improved ultrasound transducer positioning by fetal heart location estimation during Doppler based heart rate measurementsPhysiological Measurement (2017)
The electrical heart axis and ST events in fetal monitoring : a post-hoc analysis following a multicentre randomised controlled trialPLoS ONE (2017)
Fetal autonomic response to severe acidaemia during labourBJOG : An International Journal of Obstetrics and Gynaecology (2009)
Measures of cardiovascular autonomic activity in insomnia disorder : a systematic reviewPLoS ONE (2017)
- Machine learning for signal processing
- Signal processing basics(Signals I)
- Applied signal processing basics
- Aandeelhouder en R&D werk, Nemo Healthcare BV